Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "138"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 138 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 31 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 29 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 138, Node N07:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459846 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.783086 0.719264 -0.770470 -0.363511 -0.686454 0.743720 1.812772 -0.979451 0.8347 0.6577 0.5040 3.211723 2.479178
2459845 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 RF_maintenance 0.00% 1.20% 0.66% 0.00% 100.00% 0.00% 0.817217 0.239082 -0.870835 1.895760 -1.186089 1.416564 1.034579 -0.676374 0.7388 0.7375 0.3987 3.305617 2.469378
2459840 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.772016 -0.121039 -2.830810 -3.077273 -0.824078 -1.423991 -1.024337 -2.089515 0.0238 0.0238 0.0006 nan nan
2459839 RF_maintenance 0.00% - - - - - -0.402066 -0.456006 2.528974 2.865776 0.650353 -0.239435 3.562828 1.686452 nan nan nan nan nan
2459838 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.844283 0.057394 -0.752635 2.381766 -1.315617 -0.196722 1.410383 -0.935351 0.7531 0.7175 0.4141 4.785383 3.450703
2459836 RF_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0318 0.0327 0.0008 nan nan
2459835 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 0.523138 -1.381900 1.271631 0.050595 -1.238888 -0.720539 0.008995 -1.125071 0.0329 0.0328 0.0005 nan nan
2459833 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.673905 1.281688 -0.833620 -0.462792 -0.800794 -0.796616 2.231326 -1.340636 0.0282 0.0274 0.0006 nan nan
2459832 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.055082 -0.757047 1.881272 0.333327 -1.586033 0.294947 1.709772 -1.031858 0.8139 0.5485 0.5774 4.088773 3.281312
2459831 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.700390 -0.708992 -0.839358 -0.798532 3.263841 2.606010 -0.036936 -0.742624 0.0651 0.0673 0.0059 nan nan
2459830 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.792266 0.030077 2.958545 0.786471 -0.627024 -1.177949 3.200038 -1.051820 0.8157 0.5693 0.5538 7.463666 5.636934
2459829 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.615762 0.930731 3.188505 0.864952 37.055277 3.664983 3.092266 -0.586977 0.7648 0.6806 0.4164 0.000000 0.000000
2459828 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.727552 0.873150 12.429921 0.973279 16.785367 -0.551278 -2.878288 -0.122672 0.8091 0.5745 0.5367 3.943731 2.923006
2459827 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.993870 1.893618 26.254453 -0.343813 24.829431 -0.207815 -0.188174 -0.476424 0.7585 0.6706 0.4276 6.973083 4.987131
2459826 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459825 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.206078 0.389185 17.711132 -0.905882 20.141949 -1.245892 -0.927277 -0.264778 0.7913 0.5827 0.5168 4.211425 3.561608
2459824 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.374105 0.527486 24.783336 -0.741925 6.553615 -0.586944 -1.856817 -0.584333 0.7247 0.7316 0.3885 5.698628 5.001158
2459823 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.368590 0.792545 19.036542 -0.352842 24.468788 -0.786779 11.562021 -0.259351 0.7639 0.6401 0.4796 3.126501 3.177069
2459822 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459821 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.669345 1.709154 21.576130 -0.534402 20.589476 -1.532943 -1.887477 -0.804438 0.7858 0.6094 0.5166 3.501223 3.291127
2459820 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.441093 1.707480 24.653429 0.714655 48.232261 -0.178141 -2.380638 -0.177876 0.7657 0.6728 0.4364 4.524444 4.078605
2459817 RF_maintenance 100.00% 100.00% 65.05% 0.00% 100.00% 0.00% 25.959663 28.864485 34.763635 1.720314 36.683787 35.317914 1.543214 0.945494 0.0489 0.4163 0.2274 1.281499 2.737314
2459816 RF_maintenance 100.00% 100.00% 37.74% 0.00% 100.00% 0.00% 20.614992 21.307393 33.734515 2.233440 47.082540 40.869758 8.320377 5.493717 0.0480 0.4231 0.2650 1.268455 3.873091
2459815 RF_maintenance 100.00% 100.00% 51.61% 0.00% 100.00% 0.00% 24.055695 16.854924 37.957484 0.835555 48.043612 48.654400 11.602949 11.565582 0.0477 0.4568 0.2791 1.287841 3.657963
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 35.870985 3.568868 24.219904 0.659871 84.597274 -0.715107 9.184213 0.045012 0.0508 0.6839 0.3637 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 138: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Discontinuties 1.812772 0.783086 0.719264 -0.770470 -0.363511 -0.686454 0.743720 1.812772 -0.979451

Antenna 138: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 138: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 138: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Power 1.895760 0.239082 0.817217 1.895760 -0.870835 1.416564 -1.186089 -0.676374 1.034579

Antenna 138: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Shape -0.121039 -0.772016 -0.121039 -2.830810 -3.077273 -0.824078 -1.423991 -1.024337 -2.089515

Antenna 138: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Discontinuties 3.562828 -0.456006 -0.402066 2.865776 2.528974 -0.239435 0.650353 1.686452 3.562828

Antenna 138: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Power 2.381766 0.057394 0.844283 2.381766 -0.752635 -0.196722 -1.315617 -0.935351 1.410383

Antenna 138: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Power 1.271631 -1.381900 0.523138 0.050595 1.271631 -0.720539 -1.238888 -1.125071 0.008995

Antenna 138: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Discontinuties 2.231326 1.281688 -0.673905 -0.462792 -0.833620 -0.796616 -0.800794 -1.340636 2.231326

Antenna 138: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Power 1.881272 0.055082 -0.757047 1.881272 0.333327 -1.586033 0.294947 1.709772 -1.031858

Antenna 138: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 3.263841 -0.700390 -0.708992 -0.839358 -0.798532 3.263841 2.606010 -0.036936 -0.742624

Antenna 138: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Discontinuties 3.200038 0.792266 0.030077 2.958545 0.786471 -0.627024 -1.177949 3.200038 -1.051820

Antenna 138: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 37.055277 0.930731 1.615762 0.864952 3.188505 3.664983 37.055277 -0.586977 3.092266

Antenna 138: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 16.785367 0.873150 5.727552 0.973279 12.429921 -0.551278 16.785367 -0.122672 -2.878288

Antenna 138: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Power 26.254453 6.993870 1.893618 26.254453 -0.343813 24.829431 -0.207815 -0.188174 -0.476424

Antenna 138: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 138: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 20.141949 0.389185 13.206078 -0.905882 17.711132 -1.245892 20.141949 -0.264778 -0.927277

Antenna 138: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Power 24.783336 6.374105 0.527486 24.783336 -0.741925 6.553615 -0.586944 -1.856817 -0.584333

Antenna 138: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 24.468788 0.792545 16.368590 -0.352842 19.036542 -0.786779 24.468788 -0.259351 11.562021

Antenna 138: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 138: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Power 21.576130 1.709154 17.669345 -0.534402 21.576130 -1.532943 20.589476 -0.804438 -1.887477

Antenna 138: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 48.232261 9.441093 1.707480 24.653429 0.714655 48.232261 -0.178141 -2.380638 -0.177876

Antenna 138: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 36.683787 25.959663 28.864485 34.763635 1.720314 36.683787 35.317914 1.543214 0.945494

Antenna 138: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 47.082540 21.307393 20.614992 2.233440 33.734515 40.869758 47.082540 5.493717 8.320377

Antenna 138: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Temporal Variability 48.654400 16.854924 24.055695 0.835555 37.957484 48.654400 48.043612 11.565582 11.602949

Antenna 138: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 138: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
138 N07 RF_maintenance ee Temporal Variability 84.597274 3.568868 35.870985 0.659871 24.219904 -0.715107 84.597274 0.045012 9.184213
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